Background

Why falls?

Why falls?

Why falls?

  • Falls are bad
    • length of stay increased by 8 days
    • 1 in 3 fallers injured
  • Falls have a huge economic burden
    • most prevalent adverse event in hospitals (3.6%)
    • $6700 in additional healthcare costs

Why should we predict them??

Why should we predict them?

Why should we predict them?

Why should we predict them?

Why should we predict them?

Why predict them?

Clinical Decision Support Systems

  • IN: Patient data
  • OUT: Alert/decision/information

This PhD

Aims/Studies

  1. Review existing clinical prediction models for inpatient falls.
  2. Develop a prediction model for inpatient falls.
  3. Develop a cutpoint selection method to align CDSS with value-based care.
  4. Develop software to determine when/where prediction models are most worthwhile.

This PhD